Seminar by Dr. Massimo Tornatore (Politecnico di Milano & University of California, Davis)
Speaker: Dr. Massimo Tornatore (Politecnico di Milano & University of California, Davis)
Title: Emerging machine learning applications in optical transport networks
Date: Thursday, August 2, 2018
Room: EV 3.309
Despite indisputable progress towards higher capacity, management of optical networks (ONs) still requires complex and time-consuming human intervention. Machine Learning is currently being investigated as a promising solution to automate ON management. In this talk, I will introduce some applications of machine learning in ONs, with a focus on QoT estimation and failure identification.
Since late 2000, I have been a member of the Broadband Optical Networks, Security & Advanced Internet Lab (Bonsai Group) in Politecnico di Milano. I received a Laurea (M.Sc.) degree in Telecommunications Engineering from Politecnico di Milano, Italy, in October 2001, discussing a thesis developed at the CoreCom Network Laboratory (now Policom) under the supervision of Prof. Achille Pattavina. In 2002, I was a research associate in Corecom, and I worked in collaboration with PSTS (Pirelly Submarine Telecom Systems) and TILAB (Telecom Italia Labs).I started my PhD in March 2003: from May to December 2004 I visited the Networks Lab of Prof. Biswanath Mukherjee in U.C.Davis, and from November 2005 to February 2006 I was at the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) in Barcellona, working in the optical networking group headed by Dr. Raül Muñoz. I received a Ph.D. in Information Engineering in May 2006. From 2007 to 2009, I was a post-doc researcher in the Computer Science Department at the University of California, Davis. In January 2010, I started my career as a faculty in Politecnico di Milano.
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